HST-D3

Raspbian & PC-Windows-based Evaluation Kit of UWB Radar Sensor

1,575 $

The latest version of Evaluation Kit of UWB radar sensor supports you 2 types of SDK – Raspbian based, and PC-windows based. 5 kinds of demo algorithms and radar raw data through serial port are provided.

DOWNLOAD


SDKFirmwareManualDatasheet

Features

The latest version of UWB radar sensor evaluation kit interlocking Raspberry Pi3 ! You are now able to begin to develop a new radar product that you have had in mind in more supportive environment.
  • Small, Low Price, Mass-production based on UWB Radar SoC Chip
  • Detect humans, animals, vital-sign(breath, heartbeat) without contact
  • Low power consumption
  • Umain's basic Algorithm Software provided - Windows version / Linux Version
  • Example code provided
  • Raw Radar Data through serial port available
  • Interoperate with other devices through Raspberry Pi3

Support

  • SDK support for Windows / Linux;
  • Human(Moving Object) Distance/Metal Object Distance/Respiration/Vehicle/Intrusion Detection Algorthm Software / Firmware
  • Algorithm Software and Firmware can be customized to your application depending on your order quantity

Specifications

Frequency3~4.0 GHz
Bandwidth0.45~1 GHz
Physical resolution1.5~3.3cm
Factory Default 2.0cm
Monitoring range10~22M
Factory Default 13.4 M
InterfaceEthernet

Product Composition

UWB Radar Sensor Module (HST-S1 Pi)1 EA
Raspberry Pi 31 EA
SD Card for Raspberry Pi1 EA
UWB Directional Antenna & Bottom Panel 2 SET
UWB Monopole Antenna & Bottom Panel2 SET
RF cable2 EA
Ethernet Cable1 EA
Micro USB Cable1 EA
Plastic 5mm bolt, 10mm bolt16 EA
Plastic Stand Space16 EA
Metal Φ3mm nut4 EA
Metal Φ3mm bolt4 EA
Metal Stand Space5mm 4EA, 17mm 4EA
Acrylic Board1 EA
SDK for Windows (provided on-line)
SDK for Linux (provided on-line)
Example code
Raw Radar Data through serial port

HST-D3 Assembly Tutorial

Please refer this video when you assembly the provided products

Let’s watch this

How to use

STEP 1

HST-D3, a combination of HST-S1 Pi and Raspberry Pi 3, transmits raw data to a PC by wired / wireless, and the raw data can be processed and analyzed by real-time storage and retrieval by PC.

STEP 2

The algorithm analyzed and coded by PC is able to built in HST-D3 so that user can operate desired algorithm with HST-D3 without PC.

STEP 3

The algorithm analyzed and coded by PC is able to built in HST-S1 Pi so that user can operate desired algorithm with HST-S1 Pi without PC or Raspberry Pi 3.

Respiration Demonstration with GUI


The Human Respiration Detection

Areas of Application

Inspection Area

  • Airport safety inspection with radar sensors
  • Detecting dangerous materials using signal processing
  • Real-time inspection

Non-contact Medical Device

  • Detecting respiration and heart beat
  • Provides sanitary and stable medical operation environment
  • Applicable to connect into medical image processing

Millitary Scan Device

  • Detecting landmine and bomb
  • Auto Robot Sensor
  • Maximize the probability of Detecting

Underground Facilities Detection

  • Scanning the under roads
  • Scanning the water supply pipess
  • Detecting sinkholes

Emergency Device

  • Search for missing people in disaster area
  • New Convergence Technology for the safety and emergency

Firefighting Field

  • Detecting life and body signal
  • Robust and stable under any conditions

Automation Equipment

  • Factory Automation

Monitoring Intrusion Status

  • Real-time invader tracking system
  • Indoor location system with multi radar sensors